CN117038012A - Food nutrient analysis and calculation system based on computer depth vision model - Google Patents
Food nutrient analysis and calculation system based on computer depth vision model Download PDFInfo
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Classifications
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
- G16H20/60—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to nutrition control, e.g. diets
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- G06V20/60—Type of objects
- G06V20/68—Food, e.g. fruit or vegetables
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- G—PHYSICS
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- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/161—Detection; Localisation; Normalisation
- G06V40/166—Detection; Localisation; Normalisation using acquisition arrangements
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Abstract
The invention discloses a food nutrient analysis and calculation system based on a computer deep vision model, which comprises a food nutrient analysis system, wherein the food nutrient analysis system comprises a food image acquisition module, a computer model database, a voice interaction module and a face recognition module, the food image acquisition module is matched with the computer model database to acquire food image information, the computer model database is connected with a food data acquisition module, the food data acquisition module is matched with the food image acquisition module to be used and is connected with a food weight measuring module, the food weight measuring module is matched with the food data acquisition module to be commonly connected with a food nutrient calculation module, and the food nutrient calculation module is used for transmitting food nutrient data to a display terminal and a mobile phone APP through WIFI. The invention optimizes the complicated routine analysis logic that the common nutrient intelligent analysis method needs to calculate the nutrient of the dishes in proportion in advance and then calculate the nutrient of the dishes per unit weight.
Description
Technical Field
The invention relates to the technical field of food nutrient analysis and calculation systems, in particular to a food nutrient analysis and calculation system based on a computer depth vision model.
Background
Food nutrients refer to chemical substances that the human body needs to ingest that have a specific function and that can be utilized by the body to maintain normal physiological and metabolic functions, and are generally classified into the following categories: carbohydrates: is a major source of body energy, including monosaccharides, disaccharides, and polysaccharides, etc.; fat: is a secondary source of body energy, can provide higher energy density, and has the function of protecting and maintaining body organs; protein: is an important component constituting body tissues, including muscle, bone, skin, viscera, etc.; vitamins: organic compounds necessary for normal body operation, including fat-soluble vitamins (A, D, E and K) and water-soluble vitamins (groups B and C); minerals: is an inorganic compound necessary for normal body operation, including calcium, iron, zinc, magnesium, etc.; water: is a substance necessary for body operation, occupies most of the body weight, can maintain the water balance and various physiological functions of the body, and maintains the normal physiological and metabolic functions of the body: food nutrients are "fuels" of the body that can provide the body with the energy and nutrients necessary to maintain the normal physiological and metabolic functions of the body, including respiration, heartbeat, digestion, exercise, etc., promote the growth and development of the body: food nutrients are an important component of body growth and development, particularly for the growth and development of children and adolescents; preventing and treating diseases: some food nutrients have effects of preventing and treating diseases, for example, vitamin C can prevent scurvy, vitamin D can prevent osteoporosis, etc.; protecting the body's immune system: the food nutrient can protect body immune system, improve body resistance, and prevent and relieve various diseases; promoting cardiovascular and cerebrovascular health: some food nutrients, such as dietary fibers, unsaturated fatty acids and the like, can promote cardiovascular and cerebrovascular health, reduce the risk of heart disease, stroke and other diseases, and do not utilize the health of human bodies when the food nutrients are too high or too low, especially for athletes needing to strictly control the food nutrients and for groups with symptoms.
However, the existing way of calculating and controlling food nutrients has the following problems: the existing control mode for the food nutrients ingested by the human body is simpler, the food is mainly subjected to directional selection and quantitative provision, and although the control treatment on the food nutrients can be achieved to a certain extent, the accuracy of the control on the food nutrients is far insufficient, and a means for accurately calculating and analyzing the food nutrients is lacked. For this purpose, a corresponding technical solution is required to be designed to solve the existing technical problems.
Disclosure of Invention
The invention aims to provide a food nutrient analysis and calculation system based on a computer depth vision model, which solves the technical problems that the existing control mode for food nutrients ingested by a human body is simpler, the food is mainly subjected to directional selection and quantitative provision, the control treatment on the food nutrients can be achieved to a certain extent, the accuracy of the control on the food nutrients is far insufficient, and a means for accurately calculating and analyzing the food nutrients is lacked.
In order to achieve the above purpose, the present invention provides the following technical solutions: the food nutrient analysis and calculation system comprises a food nutrient analysis system, wherein the food nutrient analysis system comprises a food image acquisition module, a computer model database, a voice interaction module and a face recognition module, the food image acquisition module is matched with the computer model database to acquire food image information, the computer model database is connected with a food data acquisition module, the food data acquisition module is matched with the food image acquisition module to be used and is connected with a food weight measuring and calculating module, the food weight measuring and calculating module is matched with the food data acquisition module to be commonly connected with the food nutrient calculation module, the food nutrient calculation module is used for transmitting food nutrient data to a display terminal and a mobile phone APP through WIFI, the display terminal and the mobile phone APP are used for transmitting data to the mobile phone APP of a user through the face recognition module, meanwhile, the food nutrient analysis system is also provided with a background nutrient prime number data pushing module, the background nutrient prime number data pushing module is used for synchronously transmitting needed prime number data to the mobile phone APP of the user, and the food nutrient analysis system is operated by taking food nutrient analysis equipment as a carrier;
as a preferable mode of the invention, the food nutrient analysis equipment comprises a detection table, a computer, a depth camera, a 360-degree microphone, a high-definition camera and a direction sensor, wherein a mounting plate extends above the detection table, the computer is vertically arranged on the detection table, the depth camera and the high-definition camera are both arranged on the mounting plate, the 360-degree microphone is arranged on the top of the detection table, and the direction sensor is arranged on the depth camera, the 360-degree microphone and the high-definition camera.
As an optimal mode of the invention, the dinner plate placing groove is formed on the table top of the detection table, the dinner plate placing groove is of a concave structure, and the shooting ends of the depth camera and the high-definition camera are opposite to the dinner plate placing groove below.
As a preferable mode of the invention, the depth camera is a full-focus segment and can be used for identifying and processing the identity of the human face.
As a preferred mode of the present invention, the food data acquisition module includes three aspects of data acquisition of food volume, food density and food category.
As a preferred mode of the invention, the food weight measuring and calculating module is based on the food density and the food volume and multiplies the two to obtain the weight data of the food, then the weight data of the food is matched with the food types to match the food unit nutrients in the computer model database one by one, and the nutrients of various foods are added to obtain the heat and the nutrient content of all foods in the dinner plate.
As a preferable mode of the invention, the computer model database adopts a fuzzy data calculation model database, so that volume measurement calculation can be carried out on dishes in the depth camera picture, the food components and the duty ratio of the dishes can be analyzed, and the presentation characters of the dishes can be judged.
As a preferred mode of the present invention, the food nutrient analysis system is based on microsoft Azure Kinect DK.
Compared with the prior art, the invention has the following beneficial effects:
the invention designs a system for carrying out deep visual analysis and calculation on food nutrients, which optimizes the complex routine analysis logic that the prior common nutrient intelligent analysis method needs to calculate the food nutrients in proportion in advance and calculate the food nutrients per unit weight, and can realize the volume and weight calculation of the dishes in the dinner plate, the analysis of food components and the proportion and the nutrient calculation function of all foods in the dinner plate by a single camera, and has the support of mature hardware, algorithm and database; the system has low requirements on the use environment, does not need to specially build or large-scale reform the original dining environment, can be matched with a computer capable of moving to access the internet, can realize the deep visual recognition and calculation of food nutrients under various environments and scenes, reduces the cost, has wide application fields, can be used in public places such as professional sports teams, old health care institutions, body-building places and schools, can be used for collecting and monitoring the nutrient intake conditions of various crowds, can also be used for family daily life, can realize the face recognition of the identity of a dining person and the accurate matching of personnel and nutrition data through a camera at the same time, can realize the face identity recognition at the same time, can perform real-time analysis and feedback adjustment dining habit when the personal nutrients are taken, and can also perform data accumulation statistical analysis.
Drawings
FIG. 1 is a schematic diagram of a system of the present invention;
FIG. 2 is a schematic diagram illustrating the operation steps of the present invention;
FIG. 3 is a block diagram of the food nutrient analysis device of the present invention.
In the figure, 1, a detection table; 2. a computer; 3. a depth camera; 4. a 360 degree microphone; 5. high definition camera; 6. a direction sensor; 7. a mounting plate; 8. a dinner plate placing groove.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1-3, the present invention provides a technical solution: the food nutrient analysis and calculation system comprises a food nutrient analysis system, wherein the food nutrient analysis system comprises a food image acquisition module, a computer model database, a voice interaction module and a face recognition module, the food image acquisition module is matched with the computer model database to acquire food image information, the computer model database is connected with a food data acquisition module, the food data acquisition module is matched with the food image acquisition module to be used and is connected with a food weight measuring and calculating module, the food weight measuring and calculating module is matched with the food data acquisition module to be commonly connected with a food nutrient calculation module, the food nutrient calculation module transmits food nutrient data to a display terminal and a mobile phone APP through WIFI, the display terminal and the mobile phone APP transmit data to the mobile phone APP through the face recognition module, meanwhile, the food nutrient analysis system is also provided with a background nutrient prime data pushing module, the background nutrient prime data pushing module synchronously transmits needed nutrient prime data to the mobile phone APP of a user, and the food nutrient analysis system operates by taking food nutrient analysis equipment as a carrier;
further improved, as shown in fig. 3: food nutrient analysis equipment includes detection platform 1, computer 2, degree of depth camera 3, 360 degrees microphones 4, high definition digtal camera 5 and direction sensor 6, the top of detection platform 1 extends there is mounting panel 7, computer 2 installs perpendicularly on detection platform 1, degree of depth camera 3 and high definition digtal camera 5 are all installed on mounting panel 7, 360 degrees microphones 4 are installed at the top of detection platform 1, direction sensor 6 is all installed to degree of depth camera 3, 360 degrees microphones 4 and high definition digtal camera 5, when the user needs calculate food nutrient, can place the dinner plate in dinner plate standing groove 8 together with food, acquire food image and user identity information through degree of depth camera 3 and high definition digtal camera 5.
Further improved, as shown in fig. 3: the dinner plate placing groove 8 is formed in the table top of the detection table 1, the dinner plate placing groove 8 is of a concave structure, the shooting ends of the depth camera 3 and the high-definition camera 5 are opposite to the dinner plate placing groove 8 below, and image information acquisition can be carried out on food placed in the dinner plate placing groove 8.
Further improved, as shown in fig. 3: the depth camera 3 is a full focus segment and can recognize the identity of a human face.
Further improved, as shown in fig. 1: the food data acquisition module comprises three aspects of food volume, food density and food type data acquisition, can respectively compare the volume, density and type data of the food in the database with the food image acquisition module, and accurately calculates the volume, density and type data of the food.
Further improved, as shown in fig. 1: the food weight measuring and calculating module is based on the food density and the food volume, multiplies the food density and the food volume to obtain weight data of the food, matches the food weight data with food types one by one to match food unit nutrients in the computer model database, and adds the nutrients of various foods to obtain the heat and the nutrient content of all foods in the dinner plate.
Further improved, as shown in fig. 1: the computer model database adopts a fuzzy data calculation model database, so that volume measurement calculation can be carried out on dishes in the pictures of the depth camera 3, the food components and the duty ratio of the dishes can be analyzed, and the presentation characters of the dishes can be judged.
Specifically, the food nutrient analysis system is based on a dish (food) volume algorithm which can meet the requirements of the system based on Microsoft Azure Kinect DK.
When in use: according to the invention, when a user needs to calculate food nutrients, a dinner plate and food can be placed in a dinner plate placing groove 8, food images and user identity information are acquired through a depth camera 3 and a high-definition camera 5, then the acquired food information is compared through a computer model database to acquire food types, volumes and densities, then the food densities and the food volumes are multiplied to obtain weight data of the food, then the weight data of the food is matched with the food types to match the food unit nutrients in the computer model database one by one, the weight data of the food is multiplied with the physical unit nutrients to obtain total food nutrients, the total food nutrients are transmitted to a computer 2 and a mobile phone APP of the user through WIFI, and meanwhile, the background nutrition prime data is pushed to synchronously transmit the needed nutrition prime data to the mobile phone APP of the user, so that the food can be used for reference.
In the description of the present invention, it should be understood that the terms "coaxial," "bottom," "one end," "top," "middle," "another end," "upper," "one side," "top," "inner," "front," "center," "two ends," etc. indicate orientations or positional relationships based on the orientation or positional relationships shown in the drawings, are merely for convenience in describing the present invention and simplifying the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present invention.
Furthermore, the terms "first," "second," "third," "fourth," and the like are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated, whereby features defining "first," "second," "third," "fourth" may explicitly or implicitly include at least one such feature.
In the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "configured," "connected," "secured," "screwed," and the like are to be construed broadly and may be, for example, fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; either directly or indirectly through intermediaries, or in communication with each other or in interaction with each other, unless explicitly defined otherwise, the meaning of the terms described above in this application will be understood by those of ordinary skill in the art in view of the specific circumstances.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (8)
1. A food nutrient analysis computing system based on a computer deep vision model, comprising a food nutrient analysis system, characterized in that: the food nutrient analysis system comprises a food image acquisition module, a computer model database, a voice interaction module and a face recognition module, wherein the food image acquisition module is matched with the computer model database to acquire food image information, the computer model database is connected with a food data acquisition module, the food data acquisition module is matched with the food image acquisition module to be used and is connected with a food weight measuring and calculating module, the food weight measuring and calculating module is matched with the food data acquisition module to be jointly connected with a food nutrient calculation module, the food nutrient calculation module transmits food nutrient data to a display terminal and a mobile phone APP through WIFI, the display terminal and the mobile phone APP transmit data to a user mobile phone APP through the face recognition module, meanwhile, the food nutrient analysis system is further provided with a background nutrient data pushing module, the background nutrient data pushing module synchronously transmits needed nutrient data to the user mobile phone APP, and the food nutrient analysis system uses food nutrient analysis equipment as a carrier.
2. A computer depth vision model based food nutrient analysis computing system as defined in claim 1, wherein: food nutrient analysis equipment includes detection platform (1), computer (2), degree of depth camera (3), 360 degree microphone (4), high definition digtal camera (5) and direction sensor (6), the top of detecting platform (1) extends there is mounting panel (7), computer (2) are installed perpendicularly on detecting platform (1), degree of depth camera (3) and high definition digtal camera (5) are all installed on mounting panel (7), the top in detecting platform (1) is installed in 360 degree of microphone (4), direction sensor (6) are all installed in degree of depth camera (3), 360 degree of microphone (4) and high definition digtal camera (5).
3. A computer depth vision model based food nutrient analysis computing system as defined in claim 2, wherein: the novel high-definition television is characterized in that a dinner plate placing groove (8) is formed in the table top of the detection table (1), the dinner plate placing groove (8) is of a concave structure, and shooting ends of the depth camera (3) and the high-definition camera (5) are opposite to the dinner plate placing groove (8) below.
4. A computer depth vision model based food nutrient analysis computing system as defined in claim 3, wherein: the depth camera (3) is a full-focus section and can recognize and process the identity of the face.
5. A computer depth vision model based food nutrient analysis computing system as defined in claim 1, wherein: the food data acquisition module includes three aspects of data acquisition for food volume, food density, and food category.
6. The computer depth vision model-based food nutrient analysis computing system of claim 5, wherein: the food weight measuring and calculating module is used for obtaining weight data of the food by multiplying the food density and the food volume by the food weight measuring and calculating module, then the food weight data is matched with the food types to match the food unit nutrients in the computer model database one by one, and the nutrients of various foods are added to obtain the heat and the nutrient content of all foods in the dinner plate.
7. The computer depth vision model-based food nutrient analysis computing system of claim 6, wherein: the computer model database adopts a fuzzy data calculation model database, so that volume measurement calculation can be carried out on dishes in the pictures of the depth camera (3), the food components and the duty ratio of the dishes can be analyzed, and the presentation characters of the dishes can be judged.
8. A computer depth vision model based food nutrient analysis computing system as defined in claim 1, wherein: the food nutrient analysis system is based on microsoft Azure Kinect DK.
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| CN114360689A (en) * | 2022-01-10 | 2022-04-15 | 宁波大学附属人民医院 | Calculating instrument for nutrients such as calorie and protein |
| CN114550018A (en) * | 2022-02-25 | 2022-05-27 | 重庆邮电大学 | Nutrition management method and system based on deep learning food image recognition model |
| CN114566254A (en) * | 2022-02-28 | 2022-05-31 | 上海交通大学医学院 | Non-contact computer vision intelligent diet nutrition assessment method, system and equipment |
| CN117078955A (en) * | 2023-08-22 | 2023-11-17 | 海啸能量实业有限公司 | Health management method based on image recognition |
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